Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Ship Agents Faster
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
C++ and Python support for the CUDA Quantum programming model
CUDA-Q is an open-source platform for developing hybrid quantum-classical applications using a unified programming model across CPUs, GPUs, and quantum processing units. It provides a full toolchain that includes compilers, runtimes, and libraries for writing quantum programs in both C++ and Python. The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum...
An open source circuit simulator for power electronics applications. The objective is to provide a platform that will enable an advanced user to simulate large systems with several converters without being an excessive burden on the CPU.
...It has been applied to simulate different types of particles: for example antiprotons, positrons, 39K+ , highly charged ions, negatively charged particles.
Simbuca also has been applied to simulate Penning/Paul traps, Mr-TOFs, RFQs, ...
More info on the wiki: https://sourceforge.net/p/simbuca/wiki
An experimental ISS for freescale's e500v2 core. It is meant to simulate only cpu and memory subsystem and is purely intended for academic/learning purposes only.
Simulate the optical reflectance from an infinite turbid medium under an ideal oblique incidence optical source.
Two versions are implemented: CPU and GPU. They both generate statistically the same results but GPU version works much faster.